The extraction of pesticides is a critical and urgent issue in the preparation for and determination of pesticide residues. The lack of a quick, easy, and successful extraction process is the most critical and challenging problem, even if diagnostic tools have improved and pesticide residues have been better understood. This study contrasted the QuEChERS method, which uses gas chromatography with a flame ionization detector, with the LLE method, which uses liquid-liquid extraction, in order to extract pyridaben from cucumbers and spiromesifen from tomatoes. The GC-FID device was employed to ascertain the spiromesifen LOD and LOQ, which were 0.002 μg mL-1 and 0.006 g mL-1, respectively, according to the findings from the QuEChERS technique (95.6% recovery, RSD 0.28%-1.95%) and the LLE method (85.4% recovery, RSD 0.25%-6.9%). When testing the cucumber sample for pyridaben, the LLE method yielded an RSD of 0.12-0.21 percent, while the QuEChERS method yielded 95.22 percent. Pyridaben has limits of detection (LOD) of 0.001 μg mL-1 and quantification (LOQ) of 0.003 μg mL-1. A higher recovery level in both samples suggests that the QuEChERS method may be preferable to the LLE for extracting spiromesifen from tomatoes and pyridaben from cucumbers, according to the data. This was followed by a comparison of the two sets of results using a paired t-test with a 95% confidence level. Thus, the two methods are statistically distinct at the 95% confidence level. Among the most environmentally safe and sustainable solutions in this field, the QuEChERS method stands out for its quick sample preparation, affordability, ease of use, effectiveness, and absence of toxic chemicals and solvents.
Used in the study especially calibrated Erwa to determine the number of neighborhood or the Alayoshi number of bacteria in the count modeling and casting method dishes in addition to using the drop method yielded significant results for a match between the methods used ..
Two unsupervised classifiers for optimum multithreshold are presented; fast Otsu and k-means. The unparametric methods produce an efficient procedure to separate the regions (classes) by select optimum levels, either on the gray levels of image histogram (as Otsu classifier), or on the gray levels of image intensities(as k-mean classifier), which are represent threshold values of the classes. In order to compare between the experimental results of these classifiers, the computation time is recorded and the needed iterations for k-means classifier to converge with optimum classes centers. The variation in the recorded computation time for k-means classifier is discussed.
The purpose of this work is to determine the points and planes of 3-dimensional projective space PG(3,2) over Galois field GF(q), q=2,3 and 5 by designing a computer program.
Gas compressibility factor or z-factor plays an important role in many engineering applications related to oil and gas exploration and production, such as gas production, gas metering, pipeline design, estimation of gas initially in place (GIIP), and ultimate recovery (UR) of gas from a reservoir. There are many z-factor correlations which are either derived from Equation of State or empirically based on certain observation through regression analysis. However, the results of the z-factor obtained from different correlations have high level of variance for the same gas sample under the same pressure and temperature. It is quite challenging to determine the most accurate correlation which provides accurate estimate for a range of pressures,
... Show MoreCoffee is the most essential drink today, aside from water, the high consumption of coffee and the byproducts of its soluble industries such as spent coffee grounds can have a negative effect on the environment as a source of toxic organic compounds. Therefore, caffeine removal from the spent coffee ground can be applied as a method to limit the effect of its production on the environment. The aim of this study is to determine the kinetics and thermodynamics parameters and develop models for both processes based on the process parameters by using traditional solid-liquid extraction and Ultrasound-assisted extraction methods. The processes were performed at a temperature range of 25 to 55 °C for traditional and ultrasound baths, and
... Show MoreIn this study, crop residues from rice husks were used to enhance the properties of the prepared
wood-plastic composites (W.P.C) are made from epoxy (EP) and unsaturated polyester (UPE) at
a ratio of (50:50) and reinforced with scales in different proportions, both types are fine
(300μm≤) and coarse (300μm>). These blends were undergoing (wear, impact, hardness,
differential scanning calorimetry (DSC), and thermal conductivity) tests and the results showed
the best weight fraction. is the fine particle weight fraction at 25% and coarse at 15%, depending
on the studied tribological characteristics. The results showed by thermal properties of glass
transition temperatures (Tg). For each of the (EP,
This paper shews how to estimate the parameter of generalized exponential Rayleigh (GER) distribution by three estimation methods. The first one is maximum likelihood estimator method the second one is moment employing estimation method (MEM), the third one is rank set sampling estimator method (RSSEM)The simulation technique is used for all these estimation methods to find the parameters for generalized exponential Rayleigh distribution. Finally using the mean squares error criterion to compare between these estimation methods to find which of these methods are best to the others
The study focuses on assessment of the quality of some image enhancement methods which were implemented on renal X-ray images. The enhancement methods included Imadjust, Histogram Equalization (HE) and Contrast Limited Adaptive Histogram Equalization (CLAHE). The images qualities were calculated to compare input images with output images from these three enhancement techniques. An eight renal x-ray images are collected to perform these methods. Generally, the x-ray images are lack of contrast and low in radiation dosage. This lack of image quality can be amended by enhancement process. Three quality image factors were done to assess the resulted images involved (Naturalness Image Quality Evaluator (NIQE), Perception based Image Qual
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